Our Teaching Concept and Portfolio in the Bachelor's Programme
With the increasing digitalization of society and economy, business informatics - dealing with the design of information systems - becomes responsible to understand and profitably design increasingly complex, connected, databased and partially automated socio-technical systems.
According to our main research areas we impart understanding and competences in the main areas of the chair, especially decision support systems, system development, business and data analytics as well as digital business models and systems.
Our aspiration is to provide the students with profound theoretical and practically oriented competences. We give our best to structure all courses as practically as possible by including several practical oriented presentations and case studies within our lectures and tutorials.
On the one hand, our teaching portfolio includes courses about digital technologies and internet-based business systems as well as digital ecosystems & business models. On the other hand, we teach procedure models, mathematical models and visualization techniques for the profitable utilization of large amounts of data, especially for operational decisions and coordination tasks. Further courses teach the management of information, software development and the development of cross-company IT systems. The teaching portfolio of the Bachelor's programme is described more precisely below. In the following, a short description of our bachelor courses.
Current teaching portfolio in the Bachelor
Winter semester
Data Mining and Business Analytics (L/T)
is an introducing course comprising business analytics/data mining with structured procedure models. Relevant methodology especially for problem formalization, data preparation, data modeling (basic methods of supervised and unsupervised learning), - evaluation and - adjustment as well as implementation is introduced and deepened in exercises using a modern statistical programming language like Python or R.
Digital Project (S)
The course provides in-depth insights into current topics in business informatics with a focus on data analysis and/or the design and development of digital processes and systems. Students independently work on a current topic in business informatics from practice or research, learn how to conduct independent scientific work and writing, and train in giving presentations and participating in discussions in front of a group.
Software Engineering and Programming (L/T)
Please note: The module is part of the International Fall Term (IFT) programme at WFI and therefore takes place between October and December. The course and exam are therefore completed before Christmas. Further information on the IFT can be found here.
teaches fundamental methods and techniques for the structured design and implementation (programming) of software solutions for practical problems. Python is used as the object-oriented programming language in the course-accompanying tutorials.
System Development (L/T)
The course provides knowledge about the systematic planning and implementation of technical tasks regarding IT system development. In addition to system development models and project management techniques, the course covers the basics of information management and modeling of operational information systems (functional, organizational, data and process modeling), system development and ARIS as well as database-based web applications (dynamic HTML, relational databases and SQL) for implementing the models. The exercises are performed with ARIS on a PC and on a multi-tier application and database server infrastructure.
Summer semester
Data Analytics Lab (S)
Advance notice: In the future, the Data Analytics Lab module will be accepted as a substitute for the compulsory Data Lab module.
This course teaches the procedure for the systematic design, implementation, evaluation and adjustment of solutions to tasks in the field of business analytics and data mining. For this purpose, students work in moderated teams to develop data analytic process models and methods, for example for a task available on the Internet or a task provided by an organization, including the data provided for this purpose.
Digital Systems (L/T)
Please note: Until WS25/26, this course was part of the ‘Digital Systems & Operations Management’ module. Starting in SS26, ‘Digital Systems’ will be offered in an expanded form as a standalone course and will no longer be combined with ‘Operations Management’.
The course provides an understanding of the management of and with information as well as the design of business information systems. Participants learn the basics of system development, process and data modeling, data communication and analysis, networked information systems, data- and Internet-based business models and IT systems, as well as economic, technical, and algorithmic concepts and processes of digital business systems and models.
Digital Project (S)
The course provides in-depth insights into current topics in business informatics with a focus on data analysis and/or the design and development of digital processes and systems. Students independently work on a current topic in business informatics from practice or research, learn how to conduct independent scientific work and writing, and train in giving presentations and participating in discussions in front of a group.
